{"id":"https://openalex.org/W4414623010","doi":"https://doi.org/10.1002/cpe.70279","title":"A Deep Reinforcement Learning Approach With Attention Mechanism for <scp>DAG</scp> Task Scheduling in Data Centers","display_name":"A Deep Reinforcement Learning Approach With Attention Mechanism for <scp>DAG</scp> Task Scheduling in Data Centers","publication_year":2025,"publication_date":"2025-09-28","ids":{"openalex":"https://openalex.org/W4414623010","doi":"https://doi.org/10.1002/cpe.70279"},"language":"en","primary_location":{"id":"doi:10.1002/cpe.70279","is_oa":false,"landing_page_url":"https://doi.org/10.1002/cpe.70279","pdf_url":null,"source":{"id":"https://openalex.org/S11065456","display_name":"Concurrency and Computation Practice and Experience","issn_l":"1532-0626","issn":["1532-0626","1532-0634"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Concurrency and Computation: Practice and Experience","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5036297482","display_name":"Jun Cai","orcid":"https://orcid.org/0000-0003-1373-6183"},"institutions":[{"id":"https://openalex.org/I4210155828","display_name":"Hezhou University","ror":"https://ror.org/04nm9ed20","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210155828"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Cai","raw_affiliation_strings":["School of Architecture and Electrical Engineering Hezhou University  Hezhou China","School of Architecture and Electrical Engineering, Hezhou University, Hezhou, China"],"affiliations":[{"raw_affiliation_string":"School of Architecture and Electrical Engineering Hezhou University  Hezhou China","institution_ids":["https://openalex.org/I4210155828"]},{"raw_affiliation_string":"School of Architecture and Electrical Engineering, Hezhou University, Hezhou, China","institution_ids":["https://openalex.org/I4210155828"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021946460","display_name":"Lijuan Lu","orcid":"https://orcid.org/0000-0003-2479-4266"},"institutions":[{"id":"https://openalex.org/I4210155828","display_name":"Hezhou University","ror":"https://ror.org/04nm9ed20","country_code":"CN","type":"education","lineage":["https://openalex.org/I4210155828"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Li\u2010juan Lu","raw_affiliation_strings":["School of Architecture and Electrical Engineering Hezhou University  Hezhou China","School of Architecture and Electrical Engineering, Hezhou University, Hezhou, China"],"affiliations":[{"raw_affiliation_string":"School of Architecture and Electrical Engineering Hezhou University  Hezhou China","institution_ids":["https://openalex.org/I4210155828"]},{"raw_affiliation_string":"School of Architecture and Electrical Engineering, Hezhou University, Hezhou, China","institution_ids":["https://openalex.org/I4210155828"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5021946460"],"corresponding_institution_ids":["https://openalex.org/I4210155828"],"apc_list":{"value":4740,"currency":"USD","value_usd":4740},"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.40041016,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"37","issue":"25-26","first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10101","display_name":"Cloud Computing and Resource Management","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T10101","display_name":"Cloud Computing and Resource Management","score":0.9991000294685364,"subfield":{"id":"https://openalex.org/subfields/1710","display_name":"Information Systems"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10715","display_name":"Distributed and Parallel Computing Systems","score":0.9950000047683716,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10273","display_name":"IoT and Edge/Fog Computing","score":0.9937000274658203,"subfield":{"id":"https://openalex.org/subfields/1705","display_name":"Computer Networks and Communications"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/reinforcement-learning","display_name":"Reinforcement learning","score":0.6934999823570251},{"id":"https://openalex.org/keywords/scheduling","display_name":"Scheduling (production processes)","score":0.6521999835968018},{"id":"https://openalex.org/keywords/fixed-priority-pre-emptive-scheduling","display_name":"Fixed-priority pre-emptive scheduling","score":0.5830000042915344},{"id":"https://openalex.org/keywords/fair-share-scheduling","display_name":"Fair-share scheduling","score":0.579800009727478},{"id":"https://openalex.org/keywords/dynamic-priority-scheduling","display_name":"Dynamic priority scheduling","score":0.576200008392334},{"id":"https://openalex.org/keywords/bottleneck","display_name":"Bottleneck","score":0.5655999779701233},{"id":"https://openalex.org/keywords/two-level-scheduling","display_name":"Two-level scheduling","score":0.5561000108718872},{"id":"https://openalex.org/keywords/rate-monotonic-scheduling","display_name":"Rate-monotonic scheduling","score":0.5489000082015991}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8844000101089478},{"id":"https://openalex.org/C97541855","wikidata":"https://www.wikidata.org/wiki/Q830687","display_name":"Reinforcement learning","level":2,"score":0.6934999823570251},{"id":"https://openalex.org/C206729178","wikidata":"https://www.wikidata.org/wiki/Q2271896","display_name":"Scheduling (production processes)","level":2,"score":0.6521999835968018},{"id":"https://openalex.org/C122141398","wikidata":"https://www.wikidata.org/wiki/Q5456330","display_name":"Fixed-priority pre-emptive scheduling","level":5,"score":0.5830000042915344},{"id":"https://openalex.org/C31689143","wikidata":"https://www.wikidata.org/wiki/Q733809","display_name":"Fair-share scheduling","level":3,"score":0.579800009727478},{"id":"https://openalex.org/C107568181","wikidata":"https://www.wikidata.org/wiki/Q5319000","display_name":"Dynamic priority scheduling","level":3,"score":0.576200008392334},{"id":"https://openalex.org/C2780513914","wikidata":"https://www.wikidata.org/wiki/Q18210350","display_name":"Bottleneck","level":2,"score":0.5655999779701233},{"id":"https://openalex.org/C119948110","wikidata":"https://www.wikidata.org/wiki/Q7858726","display_name":"Two-level scheduling","level":4,"score":0.5561000108718872},{"id":"https://openalex.org/C127456818","wikidata":"https://www.wikidata.org/wiki/Q238879","display_name":"Rate-monotonic scheduling","level":4,"score":0.5489000082015991},{"id":"https://openalex.org/C120314980","wikidata":"https://www.wikidata.org/wiki/Q180634","display_name":"Distributed computing","level":1,"score":0.4819999933242798},{"id":"https://openalex.org/C175893541","wikidata":"https://www.wikidata.org/wiki/Q1196582","display_name":"Round-robin scheduling","level":4,"score":0.4377000033855438},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.38589999079704285},{"id":"https://openalex.org/C112866106","wikidata":"https://www.wikidata.org/wiki/Q267053","display_name":"Lottery scheduling","level":5,"score":0.3262999951839447},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.3197000026702881},{"id":"https://openalex.org/C32310161","wikidata":"https://www.wikidata.org/wiki/Q666365","display_name":"Earliest deadline first scheduling","level":5,"score":0.31940001249313354},{"id":"https://openalex.org/C2985963534","wikidata":"https://www.wikidata.org/wiki/Q7603704","display_name":"State information","level":3,"score":0.3100999891757965},{"id":"https://openalex.org/C55416958","wikidata":"https://www.wikidata.org/wiki/Q6206757","display_name":"Job shop scheduling","level":3,"score":0.3100000023841858},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3100000023841858},{"id":"https://openalex.org/C158336966","wikidata":"https://www.wikidata.org/wiki/Q3074426","display_name":"Flow shop scheduling","level":4,"score":0.2955000102519989},{"id":"https://openalex.org/C76774629","wikidata":"https://www.wikidata.org/wiki/Q1146103","display_name":"Deadline-monotonic scheduling","level":5,"score":0.27250000834465027},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.25690001249313354}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1002/cpe.70279","is_oa":false,"landing_page_url":"https://doi.org/10.1002/cpe.70279","pdf_url":null,"source":{"id":"https://openalex.org/S11065456","display_name":"Concurrency and Computation Practice and Experience","issn_l":"1532-0626","issn":["1532-0626","1532-0634"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320595","host_organization_name":"Wiley","host_organization_lineage":["https://openalex.org/P4310320595"],"host_organization_lineage_names":["Wiley"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Concurrency and Computation: Practice and Experience","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W2551000267","https://openalex.org/W2958071912","https://openalex.org/W2978249834","https://openalex.org/W3004718830","https://openalex.org/W3081636564","https://openalex.org/W3090866681","https://openalex.org/W4226291676","https://openalex.org/W4307413815","https://openalex.org/W4309081335","https://openalex.org/W4309374246","https://openalex.org/W4360979864","https://openalex.org/W4378713751","https://openalex.org/W4386450007","https://openalex.org/W4390968277","https://openalex.org/W4392405664","https://openalex.org/W4396239906","https://openalex.org/W4399120453","https://openalex.org/W4401236147","https://openalex.org/W4401537153","https://openalex.org/W4401863526","https://openalex.org/W4406018338"],"related_works":[],"abstract_inverted_index":{"ABSTRACT":[0],"Task":[1],"scheduling":[2,28,35,49,60,84],"algorithms":[3,29],"for":[4],"data":[5,51],"centers":[6],"must":[7],"be":[8],"capable":[9],"of":[10,19],"making":[11],"instantaneous":[12],"decisions":[13],"based":[14,62],"on":[15,63],"the":[16,20,39,71,76],"current":[17],"state":[18],"system.":[21],"However,":[22],"due":[23],"to":[24,32,74],"information":[25,40,91],"limitations,":[26],"these":[27],"often":[30],"fail":[31],"achieve":[33],"optimal":[34],"plans.":[36],"To":[37],"address":[38],"bottleneck":[41],"faced":[42],"in":[43],"DAG":[44,65,99],"(Directed":[45],"Acyclic":[46],"Graph)":[47],"task":[48],"within":[50],"centers,":[52],"this":[53],"paper":[54],"proposes":[55],"a":[56,64],"deep":[57],"reinforcement":[58],"learning":[59],"model":[61,69],"attention":[66,72,100],"mechanism.":[67],"This":[68],"utilizes":[70],"mechanism":[73,101],"capture":[75],"potential":[77],"relationships":[78],"between":[79],"dependent":[80],"tasks,":[81],"thereby":[82],"improving":[83],"efficiency":[85],"and":[86],"system":[87],"performance":[88],"under":[89],"limited":[90],"conditions.":[92],"The":[93],"experimental":[94],"results":[95],"indicate":[96],"that":[97],"our":[98],"can":[102],"significantly":[103],"reduce":[104],"makespan.":[105]},"counts_by_year":[],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-10-10T00:00:00"}
